Quantum Cyber (QUCY) Long-Term Debt Repayments (2022 - 2026)
Quantum Cyber's Long-Term Debt Repayments came in at $163,391 for Q2 2026, down 45.5% from $300,000 a year earlier but up 157.2% from the prior quarter.
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Analysis
Quantum Cyber (QUCY) Long-Term Debt Repayments (2022 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Quantum Cyber reported Long-Term Debt Repayments of $826,921, up 69.1% year-over-year; for FY2025, it came in at $1 million, down 15.2% from FY2024.
- Going back by year, Long-Term Debt Repayments was $1.18 million in FY2024, -$1.1 million in FY2023, -$107,027 in FY2022 and -$11,832 in FY2021.
- The five-year range for quarterly Long-Term Debt Repayments is -$113,974 (Q1 2022) to $300,000 (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.71 Bn | 229.74 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 178.38 Bn | 148.81 Bn | 7.27 Bn | 1.41 Bn |
| 3 | Danaher | 161.61 Bn | 145.42 Bn | 3.61 Bn | - |
| 4 | Intuitive Surgical | 154.15 Bn | 134.44 Bn | 2.08 Bn | - |
| 5 | Medtronic | 123.21 Bn | 88.46 Bn | 6.34 Bn | - |
| 6 | Stryker | 117.50 Bn | 103.61 Bn | 4.50 Bn | - |
| 7 | Boston Scientific | 67.50 Bn | 62.26 Bn | 3.85 Bn | - |
| 8 | Becton Dickinson | 54.80 Bn | 51.95 Bn | 2.32 Bn | 2.00 Bn |
| 9 | Edwards Lifesciences | 51.78 Bn | 35.79 Bn | 1.35 Bn | - |
| 10 | Quantum Cyber | 18.39 Mn | -2.62 Mn | - | 204,201.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 204,201.00 |
| Mar 31, 2026 | 84,059.00 |
| Jun 30, 2025 | 358,928.00 |
| Mar 31, 2025 | 357,623.00 |
| Dec 31, 2023 | 937,550.00 |
| Sep 30, 2023 | -398,305.00 |
| Jun 30, 2022 | -2,925.00 |
| Mar 31, 2022 | 113,974.00 |
API Access
Quantum Cyber Long-Term Debt Repayments API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=long-term-debt-repayments&ticker=QUCY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "QUCY", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=long-term-debt-repayments&ticker=QUCY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();